Chris H.Q. Ding
Chris H.Q. Ding
Professor of computer science, University of Texas, Arlington
Verified email at uta.edu - Homepage
TitleCited byYear
A tutorial on spectral clustering
U Von Luxburg
Statistics and computing 17 (4), 395-416, 2007
75832007
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
H Peng, F Long, C Ding
IEEE Transactions on pattern analysis and machine intelligence 27 (8), 1226-1238, 2005
72932005
Minimum redundancy feature selection from microarray gene expression data
C Ding, H Peng
Journal of bioinformatics and computational biology 3 (02), 185-205, 2005
20172005
K-means clustering via principal component analysis
C Ding, X He
Proceedings of the twenty-first international conference on Machine learning, 29, 2004
13682004
Efficient and robust feature selection via joint ℓ2, 1-norms minimization
F Nie, H Huang, X Cai, CH Ding
Advances in neural information processing systems, 1813-1821, 2010
13142010
Orthogonal nonnegative matrix t-factorizations for clustering
C Ding, T Li, W Peng, H Park
Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006
10392006
Multi-class protein fold recognition using support vector machines and neural networks
CHQ Ding, I Dubchak
Bioinformatics 17 (4), 349-358, 2001
10122001
A min-max cut algorithm for graph partitioning and data clustering
CHQ Ding, X He, H Zha, M Gu, HD Simon
Proceedings 2001 IEEE international conference on data mining, 107-114, 2001
9962001
Convex and semi-nonnegative matrix factorizations
CHQ Ding, T Li, MI Jordan
IEEE transactions on pattern analysis and machine intelligence 32 (1), 45-55, 2008
9912008
On the equivalence of nonnegative matrix factorization and spectral clustering
C Ding, X He, HD Simon
Proceedings of the 2005 SIAM international conference on data mining, 606-610, 2005
8982005
Spectral relaxation for k-means clustering
H Zha, X He, C Ding, M Gu, HD Simon
Advances in neural information processing systems, 1057-1064, 2002
7192002
R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization
C Ding, D Zhou, X He, H Zha
Proceedings of the 23rd international conference on Machine learning, 281-288, 2006
5332006
Atomic level simulations on a million particles: The cell multipole method for Coulomb and London nonbond interactions
HQ Ding, N Karasawa, WA Goddard III
The Journal of chemical physics 97 (6), 4309-4315, 1992
5191992
Lead‐free halide perovskite solar cells with high photocurrents realized through vacancy modulation
MH Kumar, S Dharani, WL Leong, PP Boix, RR Prabhakar, T Baikie, C Shi, ...
Advanced Materials 26 (41), 7122-7127, 2014
4722014
Bipartite graph partitioning and data clustering
H Zha, X He, C Ding, H Simon, M Gu
Proceedings of the tenth international conference on Information and …, 2001
4092001
Dopamine controls systemic inflammation through inhibition of NLRP3 inflammasome
Y Yan, W Jiang, L Liu, X Wang, C Ding, Z Tian, R Zhou
Cell 160 (1-2), 62-73, 2015
3662015
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
D Wang, T Li, S Zhu, C Ding
Proceedings of the 31st annual international ACM SIGIR conference on …, 2008
3312008
Community discovery using nonnegative matrix factorization
F Wang, T Li, X Wang, S Zhu, C Ding
Data Mining and Knowledge Discovery 22 (3), 493-521, 2011
3232011
On the equivalence between non-negative matrix factorization and probabilistic latent semantic indexing
C Ding, T Li, W Peng
Computational Statistics & Data Analysis 52 (8), 3913-3927, 2008
3112008
Nitric oxide induced by hydrogen peroxide mediates abscisic acid‐induced activation of the mitogen‐activated protein kinase cascade involved in antioxidant defense in maize leaves
A Zhang, M Jiang, J Zhang, H Ding, S Xu, X Hu, M Tan
New Phytologist 175 (1), 36-50, 2007
3072007
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